西南石油大学学报(自然科学版)

• 石油机械工程 • 上一篇    下一篇

基于模糊专家系统的钻井溢流智能预警技术

张禾1 *,李祁颖1,张露之2,米玲1   

  1. 1. 西南石油大学机电工程学院,四川成都610500
    2. 中国石油西南油气田公司蜀南气矿,四川泸州646000
  • 出版日期:2016-04-11 发布日期:2016-04-11
  • 通讯作者: 张禾,E-mail:zhanghe@swpu.edu.cn

Early Intelligent Kick Warning in Well Drilling Based on Fuzzy#br# Expert System

ZHANG He1*, LI Qiying1, ZHANG Luzhi2, MI Ling1   

  1. 1. School of Mechatronic and Electrical Engineering,Southwest Petroleum University,Chengdu,Sichuan 610500,China
    2. Shunan Gas Mine,Southwest Oil and Gas Field Company,PetroChina,Luzhou,Sichuan 646000,China
  • Online:2016-04-11 Published:2016-04-11

摘要:

针对钻井过程中由于地质信息复杂或缺乏邻井资料的原因,而使得无法建立基于样本信息的溢流预警模型的
问题,通过对溢流发生机理及其表征规律进行研究,提出了一种基于分层思想的模糊专家系统所构建的溢流智能预警
模型,该模型利用钻井专家的知识经验结合溢流表征规律能实现钻井溢流智能预警。该溢流智能预警模型通过对溢
流表征参数进行模糊化处理,再结合模糊规则库进行推理计算,并将所得结果进行反模糊化处理,从而实现快速、准确
的溢流智能预警。通过现场数据对钻井溢流智能预警系统的验证表明,该溢流智能预警技术能够满足现场应用需求,
具有较好的应用前景。

关键词: 钻井, 模糊专家系统, 分层模型, 溢流, 智能预警

Abstract:

In well drilling process,it is difficult to establish the intelligent early kick warning model based on sample information
due to the complexity of geological information or the lack of adjacent well data. Through researches on the mechanism
and characteristics of the kick occuring,we suggest an exploratory well drilling intelligent early kick warning method by using
drilling expert knowledge and hierarchical fuzzy expert system and develop corresponding software system. By fuzzifying
parameters of kick occurring and with calculation based on fuzzy inference rule,this model is able to provide fast andaccurate
early kick warning. Field test data reveals thatthe intelligent early kick warning results are good and have a good application
prospect.

Key words: well drilling, fuzzy expert system, hierarchical model, kick, intelligent early warning

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